Dev & Test | VestraData

Regulatory context

The frameworks your auditors will cite.

GDPR Data Minimisation

Personal data in non-production environments violates the minimisation principle unless appropriate technical measures are in place.

ISO 27001 / Internal Security Policies

Environment separation controls typically prohibit production data in dev and test without explicit data governance sign-off.

In practice

What Dev & Test teams actually use it for.

01FK-preserving anonymised subsets of production databasesTake a representative subset of production. Preserve all foreign key relationships across the extracted tables. Anonymise PII in place. The result is a realistic dataset engineers can actually work with.

02Weekly scheduled refresh to staging environmentsConfigure once. VestraData refreshes your staging database automatically. Engineers always have a current, anonymised dataset. No ticket to raise, no DBA involvement.

03Statistically faithful data for realistic load and edge-case testingDistribution, correlation, and null rates matched to production. Edge cases that exist in real data survive the anonymisation process. Load tests hit realistic cardinality.

04Zero manual masking scripts to maintainEvery masking script is technical debt. Schema changes break them. VestraData replaces the entire manual process: schema changes are detected automatically and masking rules update without human intervention.

Platform capabilities

How VestraData maps to this environment.

FK-preserving subset extraction

Extract a representative subset while maintaining all foreign key relationships. Referential integrity across tables preserved.

Automatic schema change detection

When the production schema changes, masking rules update automatically. No manual script updates. No broken staging refreshes after migrations.

Scheduled staging refresh

Configure a daily or weekly refresh. Staging database updated automatically. No DBA involvement, no ticket queue, no waiting.

Statistical fidelity

Distribution, correlation, null rates, and cardinality matched to production. Load tests and edge-case tests behave as if running against production data.

Direct database import

Anonymised subsets imported directly into staging. Supports PostgreSQL, MySQL, SQL Server, and Oracle. No intermediate file step.

GDPR minimisation by design

Only fields necessary for testing included in the subset. PII removed before data leaves the production environment.

Companion tool · VestraShield

Your developers use AI to write and debug code against staging data.

VestraShield intercepts AI-assisted code generation, IDE completions, and debugging sessions. Sensitive data from staging environments doesn't belong in prompts sent to external models.

IDE AI interceptGitHub Copilot, Cursor, and code assistant completions governed when running against staging data. Developers keep their tools; the data stays protected.
Debugging session governanceAI-assisted debugging sessions intercepted. Staging database content being queried or explained through AI tools doesn't reach external models.
Code generation interceptStaging data patterns surfaced through AI code generation are intercepted before the prompt leaves your environment.
Developer group policiesDifferent rules for permanent staff, contractors, and automated CI pipelines. Per-group configuration without separate deployments.